#dos

NVIDIA GPU Display Driver for Linux contains a vulnerability in the kernel driver, where improper handling of insufficient permissions or privileges may allow an unprivileged local user limited write access to protected memory, which can lead to denial of service.

NVIDIA vGPU software contains a vulnerability in the Virtual GPU Manager (nvidia.ko), where a user in the guest OS can cause a GPU interrupt storm on the hypervisor host, leading to a denial of service.

NVIDIA vGPU software contains a vulnerability in the Virtual GPU Manager (nvidia.ko), where a user in the guest OS can cause a GPU interrupt storm on the hypervisor host, leading to a denial of service.

FISCO-BCOS release-3.0.0-rc2 contains a denial of service vulnerability. Some transactions may not be committed successfully, and malicious users may use this to achieve double-spending attacks.

StarWind iSCSI SAN before 6.0 build 2013-03-20 allows a memory leak.

StarWind iSCSI SAN before 3.5 build 2007-08-09 allows socket exhaustion.

A use-after-free flaw was found in cgroup1_parse_param in kernel/cgroup/cgroup-v1.c in the Linux kernel's cgroup v1 parser. A local attacker with a user privilege could cause a privilege escalation by exploiting the fsconfig syscall parameter leading to a container breakout and a denial of service on the system.

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that any binary op would trigger `CHECK` failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the `dtype` no longer matches the `dtype` expected by the op. In that case, calling the templated binary operator for the binary op would receive corrupted data, due to the type confusion involved. If `Tin` and `Tout` don't match the type of data in `out` and `input_*` tensors then `flat<*>` would interpret it wrongly. In most cases, this would be a silent failure, but we have noticed scenarios where this results in a `CHECK` crash, hence a denial of service. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

A denial of service vulnerability exists in the Modbus configuration functionality of Sealevel Systems, Inc. SeaConnect 370W v1.3.34. Specially-crafted network packets can lead to denial of service. An attacker can send a malicious packet to trigger this vulnerability.

A denial of service vulnerability exists in the Modbus configuration functionality of Sealevel Systems, Inc. SeaConnect 370W v1.3.34. Specially-crafted network packets can lead to denial of service. An attacker can send a malicious packet to trigger this vulnerability.